[2020年10月至2021年5月大阪宣布或请求紧急状态与非相关COVID-19病例发病率趋势之间的时间关系]。

Yuki Takahashi, Kazutoshi Morisada, Miki Watanabe, Hideo Tanaka
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引用次数: 0

摘要

目的探讨在大阪提供SARS-CoV-2疫苗之前,政府对未知传播途径的COVID-19病例(未关联病例)发病率变化趋势的有效性。方法利用大阪府官方网站发布的第三波(2020年10月10日- 2021年2月28日)和第四波(2021年2月23日- 2021年6月27日)以及前后约一周的每日报告,计算无关联COVID-19病例发病率的7天移动平均值。然后,我们计算每日百分比变化,并使用Joinpoint回归分析确定重大变化的日期(“Joinpoint”)。与感染风险相关的县居民行为发生重大变化的日期(行为突然变化的日期)定义为从每个连接点日期向后计算的日期,并考虑到潜伏期以及发病日期和公布每日报告日期之间的间隔。随后,我们检查了与感染风险相关的行为突然变化的声明日期和定义日期之间的时间关系。结果确定了2020年11月23日、2021年1月7日、1月18日、4月12日和4月30日这5个显著下降趋势的接点日期。我们从相应的滞后时间(8到9.9天)定义了每个连接点日期的行为突然变化日期:2020年,11月13日和12月30日;2021年,1月9日,4月4日和4月22日。关于这五个估计日期,第二次紧急宣布于2021年1月9日发布。此外,2021年4月4日首次提出了优先预防措施。4月22日是第三次紧急声明的请求日和发布之日之间。结论这些描述性流行病学调查结果表明,这些声明的发布可能是加强大阪府居民避免感染行为的触发因素,导致非相关COVID-19病例呈下降趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Temporal relationships between a state of emergency declaration or request and trends in the incidence of unlinked COVID-19 cases in Osaka from October 2020 to May 2021].

Objective We examined the effectiveness of governmental declarations on the changing temporal trends in the incidence of COVID-19 cases with unknown transmission routes (unlinked cases) before SARS-CoV-2 vaccines became available in Osaka.Methods Seven-day moving averages of the incidence of unlinked COVID-19 cases were calculated using daily reports posted on the official website of the Osaka Prefectural Government for the third (October 10, 2020-February 28, 2021) and fourth COVID-19 waves and about one week before and after (February 23, 2021-June 27, 2021). Then, we calculated daily percentage changes and identified dates of significant change ("Joinpoint") with a Joinpoint regression analysis. The date of a major change in the behavior of prefectural residents associated with the risk of infection (the date of a sudden change in behavior) was defined as the date counting backward from each Joinpoint date and considering the incubation period and interval between the date of onset and disclosure of the daily report. Subsequently, we examined the temporal relationships between the declaration date and defined date of the sudden change in behavior associated with the risk of infection.Results Five Joinpoint dates contributing to a significant downward trend were identified: November 23, 2020, and in 2021, January 7, January 18, April 12, and April 30. We defined dates of sudden changes in behavior from each Joinpoint date from the corresponding time lag (8 to 9.9 days): in 2020, November 13 and December 30; in 2021, January 9, April 4, and April 22. Regarding the five estimated dates, the second emergency declaration was issued on January 9, 2021. Further, the first introduction of priority preventive measures was given on April 4, 2021. April 22 fell between the date that the third emergency declaration was requested and the date of its issuance.Conclusion These descriptive epidemiological findings suggest that the issuance of these declarations could be triggers that reinforced infection avoidance behavior among Osaka prefectural residents, which resulted in the downward trends in unlinked COVID-19 cases.

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